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This paper deals with the detection problem of small and slowly-moving targets in the context of highly ambiguous pulse Doppler radar using a medium Pulse Repetition Frequency (PRF). A solution for exploiting multiple-burst signals of these radars is proposed. It combines a fast iterative Maximum Likelihood (ML) estimator for target parameter estimation and ambiguities solving and an adaptive detector...
In this paper, we address the problem of detecting and localizing closely spaced moving targets using a compressed sensing approach. In a previous work, we demonstrated the interest of a compressed sensing approach for overcoming Doppler ambiguities and proposed the N-signal Adaptive Grid Orthogonal Matching Pursuit (N-signal-AGOMP) [1] for the detection and estimation of moving targets in a continuous...
This paper proposes an efficient method for locating multiple off grid targets, whose responses lies in a high-dimensional space, in the presence of Doppler ambiguities. The detection and localization method is based on Orthogonal Matching Pursuit (OMP), a sparse linear decomposition technique for solving Compressed Sensing (CS) problems, combined with a gradient algorithm that adapts the grid to...
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